Information Architecture

A plain-language definition for operational leaders - and why it matters that your organization understands what it is before deciding how to build it.

Why building for machine readability makes things better for the humans in your operation too - and what that means for how you should approach it

The shift to machine readability demands more than a new file format. It demands a new way of governing meaning across your organization.

New data visualisations in Data Graphs lets you view your domain model and explore your knowledge graph visually.

Introducing Data Graphs - a fully managed SaaS structured data solution, that combines an intuitive user experience with flexible integration.

Guest blogger Jim Howard shares his experiences in Sports publishing patterns, and how to extract most value from your sports data.

How Cochrane are marking up COVID-19 clinical studies with Schema.org and PICO structured data.

A knowledge graph case study on the data architecture of the Cochrane COVID-19 Study Register and the Cochrane Linked Data Project.

A discussion on the synergies between GraphQL and Graph Databases, data architecture and how ontology models provide the special ingredients.

A discussion of AI and Data Science delivery anti-patterns, their impacts on data platform technical architectures, and strategies for reducing complexity and mitigation.

An introductory guide to tagging, Part 1. Examining how developments in search technology created the perception that good information management practices were redundant.

An introductory guide to tagging, Part 3. Why is good quality subject tagging so hard? The post looks at literature from library science to explore the root causes and possible solutions.